Pattern Recognition of Sleep in Rodents Using Piezoelectric Signals Generated by Gross Body Movements. - Aaron E. Flores 001; Judith E. Flores; Hrishikesh Deshpande; Jorge A. Picazo; Xinmin Xie; Paul Franken; H. Craig Heller; Dennis A. Grahn; Bruce F. O'Hara (IEEE Trans. Biomed. Eng., 2007)

Marketing campaign evaluation in targeted display advertising. - Joel Barajas; Jaimie Kwon; Ram Akella; Aaron Flores 001; Marius Holtan; Victor Andrei (AdKDD@KDD, 2012)

Measuring dynamic effects of display advertising in the absence of user tracking information. - Joel Barajas; Jaimie Kwon; Ram Akella; Aaron Flores 001; Marius Holtan; Victor Andrei (AdKDD@KDD, 2012)

Dynamic effects of ad impressions on commercial actions in display advertising. - Joel Barajas; Ram Akella; Marius Holtan; Jaimie Kwon; Aaron Flores 001; Victor Andrei (CIKM, 2012)

Impact of ad impressions on dynamic commercial actions: value attribution in marketing campaigns. - Joel Barajas; Ram Akella; Marius Holtan; Jaimie Kwon; Aaron Flores 001; Victor Andrei (WWW (Companion Volume), 2012)

Dynamic evaluation of online display advertising with randomized experiments: an aggregated approach. - Joel Barajas; Ram Akella; Marius Holtan; Jaimie Kwon; Aaron Flores 001; Victor Andrei (WWW (Companion Volume), 2013)

Estimating Ad Impact on Clicker Conversions for Causal Attribution: A Potential Outcomes Approach. - Joel Barajas; Ram Akella; Aaron Flores 001; Marius Holtan (SDM, 2015)

Experimental Designs and Estimation for Online Display Advertising Attribution in Marketplaces. - Joel Barajas; Ram Akella; Marius Holtan; Aaron Flores 001 (Mark. Sci., 2016)

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. - Junwei Pan; Yizhi Mao; Alfonso Lobos Ruiz; Yu Sun; Aaron Flores 001 (KDD, 2019)

Time-Aware Prospective Modeling of Users for Online Display Advertising. - Djordje Gligorijevic; Jelena Gligorijevic; Aaron Flores 001 (CoRR, 2019)

Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model. - Djordje Gligorijevic; Jelena Gligorijevic; Aaron Flores 001 (CIKM, 2020)

Bid Shading in The Brave New World of First-Price Auctions. - Djordje Gligorijevic; Tian Zhou 006; Bharatbhushan Shetty; Brendan Kitts; Shengjun Pan; Junwei Pan; Aaron Flores 001 (CIKM, 2020)

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. - Wei Deng 002; Junwei Pan; Tian Zhou 006; Aaron Flores 001; Guang Lin 001 (CoRR, 2020)

Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. - Yanjun Han; Zhengyuan Zhou; Aaron Flores 001; Erik Ordentlich; Tsachy Weissman (CoRR, 2020)

Bid Shading by Win-Rate Estimation and Surplus Maximization. - Shengjun Pan; Brendan Kitts; Tian Zhou 006; Hao He; Bharatbhushan Shetty; Aaron Flores 001; Djordje Gligorijevic; Junwei Pan; Tingyu Mao; San Gultekin; Jianlong Zhang (CoRR, 2020)

MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. - Wei Zhang; Brendan Kitts; Yanjun Han; Zhengyuan Zhou; Tingyu Mao; Hao He; Shengjun Pan; Aaron Flores 001; San Gultekin; Tsachy Weissman (KDD, 2021)

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. - Tian Zhou 006; Hao He; Shengjun Pan; Niklas Karlsson; Bharatbhushan Shetty; Brendan Kitts; Djordje Gligorijevic; San Gultekin; Tingyu Mao; Junwei Pan; Jianlong Zhang; Aaron Flores 001 (KDD, 2021)

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. - Wei Deng 002; Junwei Pan; Tian Zhou 006; Deguang Kong; Aaron Flores 001; Guang Lin 001 (WSDM, 2021)

FM2: Field-matrixed Factorization Machines for Recommender Systems. - Yang Sun; Junwei Pan; Alex Zhang; Aaron Flores 001 (WWW, 2021)

FM2: Field-matrixed Factorization Machines for Recommender Systems. - Yang Sun; Junwei Pan; Alex Zhang; Aaron Flores 001 (CoRR, 2021)

Mid-flight Forecasting for CPA Lines in Online Advertising. - Hao He; Tian Zhou 006; Lihua Ren; Niklas Karlsson; Aaron Flores 001 (CoRR, 2021)

Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. - Wei Zhang; Yanjun Han; Zhengyuan Zhou; Aaron Flores 001; Tsachy Weissman (NeurIPS, 2022)

Predicting Actions of Users Using Heterogeneous Online Signals. - Djordje Gligorijevic; Jelena Gligorijevic; Aaron Flores 001 (Big Data, 2022)

Nonlinear Kalman Filtering with Reparametrization Gradients. - San Gultekin; Brendan Kitts; Aaron Flores 001; John Paisley (ICFSP, 2024)

Double Distributionally Robust Bid Shading for First Price Auctions. - Yanlin Qu; Ravi Kant; Yan Chen; Brendan Kitts; San Gultekin; Aaron Flores 001; Jose H. Blanchet (CoRR, 2024)

Optimal downsampling for Imbalanced Classification with Generalized Linear Models. - Yan Chen; Jose H. Blanchet; Krzysztof Dembczynski; Laura Fee Nern; Aaron E. Flores 001 (AISTATS, 2025)